26/11 Mumbai Terror Network Communication Dataset
Description
This dataset provides an adjacency matrix representing the communication dynamics among members of the terrorist group involved in the 26/11 Mumbai attacks. Sourced from Ze L., et al., this dataset contains critical insights into the interactions and relationships among 13 identified members, facilitating a deeper understanding of their operational collaboration.
Dataset Structure:
Members: 13 individuals associated with the terrorist group.
Format: The dataset is structured as a binary adjacency matrix, where rows and columns correspond to the group members. Each cell in the matrix indicates whether a communication link existed between the corresponding members (1 for communication, 0 for no communication).
Key Features:
Adjacency Matrix: A 13x13 matrix capturing the communication relationships among members.
Binary Representation: Indicates the presence (1) or absence (0) of communication between each pair of members.
Purpose and Use Cases:
This dataset is intended for researchers and analysts focused on:
Analyzing terrorist communication networks and their structural properties.
Exploring the dynamics of group interactions in the context of terrorism.
Developing algorithms for network analysis and visualization.
Citation:
[15] Ze L., et al., “Detecting Key Individuals in Terrorist Network Based on FANP Model,” no. Asonam, pp. 724–727, 2014.
Files
Additional details
Software
- Repository URL
- https://www.kaggle.com/datasets/abhaynb/2611-mumbai-terror-network-communication-dataset
- Programming language
- Python